fenfen22's Stars
justinbchau/custom-elt-project
udacity/deep-learning-v2-pytorch
Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
HqWu-HITCS/Awesome-Chinese-LLM
整理开源的中文大语言模型，以规模较小、可私有化部署、训练成本较低的模型为主，包括底座模型，垂直领域微调及应用，数据集与教程等。
ML4ITS/tdt99-2020
Repository for the theory module TDT99
shunyaoshih/TPA-LSTM
Temporal Pattern Attention for Multivariate Time Series Forecasting
MadaneA/MTS-CGAN
Transformer-based Conditional Generative Adversarial Network for Multivariate Time Series Generation (IWTA - PAKDD2023)
KDD-OpenSource/data-generation
The repository provides a synthetic multivariate time series data generator. The implementation is an extention of the cylinder-bell-funnel time series data generator. The scipt enables synthetic data generation of different length, dimensions and samples.
sdv-dev/DeepEcho
Synthetic Data Generation for mixed-type, multivariate time series.
Davidham3/STSGCN
AAAI 2020. Spatial-Temporal Synchronous Graph Convolutional Networks: A New Framework for Spatial-Temporal Network Data Forecasting
ojus1/Date2Vec
PyTorch Scripts for training and getting embeddings of Date-Time without losing much information. Pretrained Models Included.
gzerveas/mvts_transformer
Multivariate Time Series Transformer, public version
lpphd/multivariate-attention-tcn
EvilPsyCHo/Deep-Time-Series-Prediction
Seq2Seq, Bert, Transformer, WaveNet for time series prediction.
ghsama/ConvTransformerTimeSeries
Convolutional Transformer for time series
deepkashiwa20/MegaCRN
[AAAI23] This it the official github for AAAI23 paper "Spatio-Temporal Meta-Graph Learning for Traffic Forecasting"
BUAABIGSCity/PDFormer
[AAAI2023] A PyTorch implementation of PDFormer: Propagation Delay-aware Dynamic Long-range Transformer for Traffic Flow Prediction.
JulesBelveze/time-series-autoencoder
PyTorch Dual-Attention LSTM-Autoencoder For Multivariate Time Series
WenjieDu/Awesome_Imputation
Awesome Deep Learning for Time-Series Imputation, including a must-read paper list about applying neural networks to impute incomplete time series containing NaN missing values/data
mlpotter/Transformer_Time_Series
Enhancing the Locality and Breaking the Memory Bottleneck of Transformer on Time Series Forecasting (NeurIPS 2019)
Navidfoumani/ConvTran
This is a PyTorch implementation of ConvTran
cure-lab/LTSF-Linear
[AAAI-23 Oral] Official implementation of the paper "Are Transformers Effective for Time Series Forecasting?"
cure-lab/Awesome-time-series
A comprehensive survey on the time series domains
Zero-coder/FECAM
About Code release for "FECAM: Frequency Enhanced Channel Attention Mechanism for Time Series Forecasting" ⌚
cure-lab/SCINet
The GitHub repository for the paper: “Time Series is a Special Sequence: Forecasting with Sample Convolution and Interaction“. (NeurIPS 2022)
keras-team/keras
Deep Learning for humans
KurochkinAlexey/DA-RNN
Pytorch implementation of Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction https://arxiv.org/pdf/1704.02971.pdf
PatientEz/CNN-BiLSTM-Attention-Time-Series-Prediction_Keras
CNN+BiLSTM+Attention Multivariate Time Series Prediction implemented by Keras
lkulowski/LSTM_encoder_decoder
Build a LSTM encoder-decoder using PyTorch to make sequence-to-sequence prediction for time series data
zhangxu0307/time-series-forecasting-keras
time series forecasting using keras, inlcuding LSTM,RNN,MLP,GRU,SVR and multi-lag training and forecasting method, ICONIP2017 paper.
ningshixian/LSTM_Attention
attention-based LSTM/Dense implemented by Keras